How to integrate Stormboard MCP with Pydantic AI

This guide walks you through connecting Stormboard to Pydantic AI using the Composio tool router. By the end, you'll have a working Stormboard agent that can summarize all sticky notes on a board, add action items to a stormboard project, list team members assigned to a board through natural language commands. This guide will help you understand how to give your Pydantic AI agent real control over a Stormboard account through Composio's Stormboard MCP server. Before we dive in, let's take a quick look at the key ideas and tools involved.

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Stormboard is an online sticky note whiteboard for brainstorming and project collaboration. It helps teams organize ideas and run more productive meetings.

41 Tools

Introduction

This guide walks you through connecting Stormboard to Pydantic AI using the Composio tool router. By the end, you'll have a working Stormboard agent that can summarize all sticky notes on a board, add action items to a stormboard project, list team members assigned to a board through natural language commands.

This guide will help you understand how to give your Pydantic AI agent real control over a Stormboard account through Composio's Stormboard MCP server.

Before we dive in, let's take a quick look at the key ideas and tools involved.

Also integrate Stormboard with

OpenAI Agents SDKClaude Agent SDKClaude CodeClaude CoworkCodexOpenClawHermesCLIGoogle ADKLangChainVercel AI SDKMastra AILlamaIndexCrewAI

TL;DR

Here's what you'll learn:
  • How to set up your Composio API key and User ID
  • How to create a Composio Tool Router session for Stormboard
  • How to attach an MCP Server to a Pydantic AI agent
  • How to stream responses and maintain chat history
  • How to build a simple REPL-style chat interface to test your Stormboard workflows

What is Pydantic AI?

Pydantic AI is a Python framework for building AI agents with strong typing and validation. It leverages Pydantic's data validation capabilities to create robust, type-safe AI applications.

Key features include:

  • Type Safety: Built on Pydantic for automatic data validation
  • MCP Support: Native support for Model Context Protocol servers
  • Streaming: Built-in support for streaming responses
  • Async First: Designed for async/await patterns

What is the Stormboard MCP server, and what's possible with it?

The Stormboard MCP server is an implementation of the Model Context Protocol that connects your AI agent and assistants like Claude, Cursor, etc directly to your Stormboard account. It provides structured and secure access so your agent can perform Stormboard operations on your behalf.

What is the Composio tool router, and how does it fit here?

What is Composio SDK?

Composio's Composio SDK helps agents find the right tools for a task at runtime. You can plug in multiple toolkits (like Gmail, HubSpot, and GitHub), and the agent will identify the relevant app and action to complete multi-step workflows. This can reduce token usage and improve the reliability of tool calls. Read more here: Getting started with Composio SDK

The tool router generates a secure MCP URL that your agents can access to perform actions.

How the Composio SDK works

The Composio SDK follows a three-phase workflow:

  1. Discovery: Searches for tools matching your task and returns relevant toolkits with their details.
  2. Authentication: Checks for active connections. If missing, creates an auth config and returns a connection URL via Auth Link.
  3. Execution: Executes the action using the authenticated connection.

Step-by-step Guide

Step by step09 STEPS
1

Prerequisites

Before starting, make sure you have:
  • Python 3.9 or higher
  • A Composio account with an active API key
  • Basic familiarity with Python and async programming
2

Getting API Keys for OpenAI and Composio

OpenAI API Key
  • Go to the OpenAI dashboard and create an API key. You'll need credits to use the models, or you can connect to another model provider.
  • Keep the API key safe.
Composio API Key
  • Log in to the Composio dashboard.
  • Navigate to your API settings and generate a new API key.
  • Store this key securely as you'll need it for authentication.
3

Install dependencies

bash
pip install composio pydantic-ai python-dotenv

Install the required libraries.

What's happening:

  • composio connects your agent to external SaaS tools like Stormboard
  • pydantic-ai lets you create structured AI agents with tool support
  • python-dotenv loads your environment variables securely from a .env file
4

Set up environment variables

bash
COMPOSIO_API_KEY=your_composio_api_key_here
USER_ID=your_user_id_here
OPENAI_API_KEY=your_openai_api_key

Create a .env file in your project root.

What's happening:

  • COMPOSIO_API_KEY authenticates your agent to Composio's API
  • USER_ID associates your session with your account for secure tool access
  • OPENAI_API_KEY to access OpenAI LLMs
5

Import dependencies

python
import asyncio
import os
from dotenv import load_dotenv
from composio import Composio
from pydantic_ai import Agent
from pydantic_ai.mcp import MCPServerStreamableHTTP

load_dotenv()
What's happening:
  • We load environment variables and import required modules
  • Composio manages connections to Stormboard
  • MCPServerStreamableHTTP connects to the Stormboard MCP server endpoint
  • Agent from Pydantic AI lets you define and run the AI assistant
6

Create a Tool Router Session

python
async def main():
    api_key = os.getenv("COMPOSIO_API_KEY")
    user_id = os.getenv("USER_ID")
    if not api_key or not user_id:
        raise RuntimeError("Set COMPOSIO_API_KEY and USER_ID in your environment")

    # Create a Composio Tool Router session for Stormboard
    composio = Composio(api_key=api_key)
    session = composio.create(
        user_id=user_id,
        toolkits=["stormboard"],
    )
    url = session.mcp.url
    if not url:
        raise ValueError("Composio session did not return an MCP URL")
What's happening:
  • We're creating a Tool Router session that gives your agent access to Stormboard tools
  • The create method takes the user ID and specifies which toolkits should be available
  • The returned session.mcp.url is the MCP server URL that your agent will use
7

Initialize the Pydantic AI Agent

python
# Attach the MCP server to a Pydantic AI Agent
stormboard_mcp = MCPServerStreamableHTTP(url, headers={"x-api-key": COMPOSIO_API_KEY})
agent = Agent(
    "openai:gpt-5",
    toolsets=[stormboard_mcp],
    instructions=(
        "You are a Stormboard assistant. Use Stormboard tools to help users "
        "with their requests. Ask clarifying questions when needed."
    ),
)
What's happening:
  • The MCP client connects to the Stormboard endpoint
  • The agent uses GPT-5 to interpret user commands and perform Stormboard operations
  • The instructions field defines the agent's role and behavior
8

Build the chat interface

python
# Simple REPL with message history
history = []
print("Chat started! Type 'exit' or 'quit' to end.\n")
print("Try asking the agent to help you with Stormboard.\n")

while True:
    user_input = input("You: ").strip()
    if user_input.lower() in {"exit", "quit", "bye"}:
        print("\nGoodbye!")
        break
    if not user_input:
        continue

    print("\nAgent is thinking...\n", flush=True)

    async with agent.run_stream(user_input, message_history=history) as stream_result:
        collected_text = ""
        async for chunk in stream_result.stream_output():
            text_piece = None
            if isinstance(chunk, str):
                text_piece = chunk
            elif hasattr(chunk, "delta") and isinstance(chunk.delta, str):
                text_piece = chunk.delta
            elif hasattr(chunk, "text"):
                text_piece = chunk.text
            if text_piece:
                collected_text += text_piece
        result = stream_result

    print(f"Agent: {collected_text}\n")
    history = result.all_messages()
What's happening:
  • The agent reads input from the terminal and streams its response
  • Stormboard API calls happen automatically under the hood
  • The model keeps conversation history to maintain context across turns
9

Run the application

python
if __name__ == "__main__":
    asyncio.run(main())
What's happening:
  • The asyncio loop launches the agent and keeps it running until you exit

Complete Code

Here's the complete code to get you started with Stormboard and Pydantic AI:

python
import asyncio
import os
from dotenv import load_dotenv
from composio import Composio
from pydantic_ai import Agent
from pydantic_ai.mcp import MCPServerStreamableHTTP

load_dotenv()

async def main():
    api_key = os.getenv("COMPOSIO_API_KEY")
    user_id = os.getenv("USER_ID")
    if not api_key or not user_id:
        raise RuntimeError("Set COMPOSIO_API_KEY and USER_ID in your environment")

    # Create a Composio Tool Router session for Stormboard
    composio = Composio(api_key=api_key)
    session = composio.create(
        user_id=user_id,
        toolkits=["stormboard"],
    )
    url = session.mcp.url
    if not url:
        raise ValueError("Composio session did not return an MCP URL")

    # Attach the MCP server to a Pydantic AI Agent
    stormboard_mcp = MCPServerStreamableHTTP(url, headers={"x-api-key": COMPOSIO_API_KEY})
    agent = Agent(
        "openai:gpt-5",
        toolsets=[stormboard_mcp],
        instructions=(
            "You are a Stormboard assistant. Use Stormboard tools to help users "
            "with their requests. Ask clarifying questions when needed."
        ),
    )

    # Simple REPL with message history
    history = []
    print("Chat started! Type 'exit' or 'quit' to end.\n")
    print("Try asking the agent to help you with Stormboard.\n")

    while True:
        user_input = input("You: ").strip()
        if user_input.lower() in {"exit", "quit", "bye"}:
            print("\nGoodbye!")
            break
        if not user_input:
            continue

        print("\nAgent is thinking...\n", flush=True)

        async with agent.run_stream(user_input, message_history=history) as stream_result:
            collected_text = ""
            async for chunk in stream_result.stream_output():
                text_piece = None
                if isinstance(chunk, str):
                    text_piece = chunk
                elif hasattr(chunk, "delta") and isinstance(chunk.delta, str):
                    text_piece = chunk.delta
                elif hasattr(chunk, "text"):
                    text_piece = chunk.text
                if text_piece:
                    collected_text += text_piece
            result = stream_result

        print(f"Agent: {collected_text}\n")
        history = result.all_messages()

if __name__ == "__main__":
    asyncio.run(main())

Conclusion

You've built a Pydantic AI agent that can interact with Stormboard through Composio's Tool Router. With this setup, your agent can perform real Stormboard actions through natural language. You can extend this further by:
  • Adding other toolkits like Gmail, HubSpot, or Salesforce
  • Building a web-based chat interface around this agent
  • Using multiple MCP endpoints to enable cross-app workflows (for example, Gmail + Stormboard for workflow automation)
This architecture makes your AI agent "agent-native", able to securely use APIs in a unified, composable way without custom integrations.
TOOLS

Supported Tools

Every Stormboard action and event your agent gets out of the box.

Accept a Storm Invite

Tool to accept a Storm invitation and join the Storm.

Add a Favorite Star

Tool to add a favorite star to a Storm on the Dashboard.

Check Authentication

Tool to verify API key authentication validity.

Close a Storm

Tool to close an open Storm, making it read-only.

Create a Line Connector

Tool to create a line connector between two ideas.

Create a new chat message

Tool to create a new chat message in a Stormboard storm.

Create a New Storm

Tool to create a new Storm in Stormboard for interactive planning and collaboration.

Create a New Tag

Tool to create a new tag in a Storm without any data related to Ideas.

Create a New User

Tool to create a new user account in Stormboard.

Create an idea in Stormboard

Tool to create a new idea in an existing Stormboard storm.

Create Tag Data for an Idea

Tool to update tag data for an idea.

Decline a Storm Invite

Tool to decline a Storm invitation and remove it from your list.

Delete a Connector Between Ideas

Tool to delete a line connector between two ideas.

Delete a Specific Connector

Tool to delete a line connector using the connector ID.

Get Storm Details

Tool to retrieve detailed information about a specific Storm.

Duplicate a Storm

Tool to duplicate an existing Storm.

Get a list of connectors in a Storm

Tool to retrieve a list of connectors within a specific Storm.

Get a List of Ideas

Tool to retrieve all ideas from a Storm.

Get A List Of Participants

Tool to retrieve a list of all participants in a Storm.

Get A List Of Storms Invites

Tool to retrieve a list of storms that you have been invited to.

Get List of Tags in Storm

Tool to retrieve the list of tags that have been created in a Storm.

Get A List Of Your Storms

Tool to retrieve a list of storms from Stormboard.

Get Authentication Info

Tool to retrieve authentication information and API token for the authenticated user.

Get Chat Messages

Tool to retrieve a list of chat messages from a Stormboard storm.

Get Idea Data

Tool to retrieve detailed data and metadata for a specific idea.

Get Info About Your User

Tool to retrieve authenticated user profile information.

Get My Storm Access

Tool to check if the authenticated user has access to a Storm and retrieve their permission level.

Get Storm Template

Tool to retrieve template data for a Storm including all sections and subsections.

Get Tag Data For An Idea

Tool to retrieve tag data for a specific idea in Stormboard.

Get Unread Chat Messages

Tool to retrieve unread chat messages from a specific Storm.

Invite Participants to Storm

Tool to invite people to join a Storm by email.

Join a Storm

Tool to join a Storm using its ID and access key.

Mark Chat Messages as Read

Tool to mark all chat messages as read in a Storm.

Remove a Favorite Star

Tool to remove a favorite star from a Storm on the Dashboard.

Reopen a Storm

Tool to reopen a closed Storm.

Update a Line Connector

Tool to update a specific line connector between two ideas.

Update Notifications

Tool to update user notification preferences.

Update Section in Storm

Tool to update a section's title, description, and/or character in a Storm.

Update Storm Legend

Tool to update the color labels of the legend for a storm.

Update Your Profile

Tool to update your user profile information.

Verify Your Account

Tool to verify a Stormboard account using a verification code.

FRAMEWORKS

How to build Stormboard MCP Agent with another framework

OpenAI Agents SDK logo

OpenAI Agents SDK

Use Stormboard MCP with OpenAI Agents SDK

Claude Agent SDK logo

Claude Agent SDK

Use Stormboard MCP with Claude Agent SDK

Claude Code logo

Claude Code

Use Stormboard MCP with Claude Code

Claude Cowork logo

Claude Cowork

Use Stormboard MCP with Claude Cowork

Codex logo

Codex

Use Stormboard MCP with Codex

OpenClaw logo

OpenClaw

Use Stormboard MCP with OpenClaw

Hermes logo

Hermes

Use Stormboard MCP with Hermes

CLI logo

CLI

Use Stormboard MCP with CLI

Google ADK logo

Google ADK

Use Stormboard MCP with Google ADK

LangChain logo

LangChain

Use Stormboard MCP with LangChain

Vercel AI SDK logo

Vercel AI SDK

Use Stormboard MCP with Vercel AI SDK

Mastra AI logo

Mastra AI

Use Stormboard MCP with Mastra AI

LlamaIndex logo

LlamaIndex

Use Stormboard MCP with LlamaIndex

CrewAI logo

CrewAI

Use Stormboard MCP with CrewAI

FAQ

Frequently asked questions

With a standalone Stormboard MCP server, the agents and LLMs can only access a fixed set of Stormboard tools tied to that server. However, with the Composio Tool Router, agents can dynamically load tools from Stormboard and many other apps based on the task at hand, all through a single MCP endpoint.

Yes, you can. Pydantic AI fully supports MCP integration. You get structured tool calling, message history handling, and model orchestration while Tool Router takes care of discovering and serving the right Stormboard tools.

Yes, absolutely. You can configure which Stormboard scopes and actions are allowed when connecting your account to Composio. You can also bring your own OAuth credentials or API configuration so you keep full control over what the agent can do.

All sensitive data such as tokens, keys, and configuration is fully encrypted at rest and in transit. Composio is SOC 2 Type 2 compliant and follows strict security practices so your Stormboard data and credentials are handled as safely as possible.

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